Household food insecurity levels in Ethiopia: quantile regression approach.

ABSTRACT:

Introduction

Numerous natural and man-made factors have afflicted Ethiopia, and millions of people have experienced food insecurity. The current cut-points of the WFP food consumption score (FCS) have limitations in measuring the food insecurity level of different feeding patterns due to the diversified culture of the society. The aim of this study is to adapt the WFP food security score cut-points corrected for the different feeding cultures of the society using effect-driven quantile clustering.

Method

The 2012, 2014, and 2016 Ethiopian socio-economic household-based panel data set with a sample size of 3,835 households and 42 variables were used. Longitudinal quantile regression with fixed individual-specific location-shift intercept of the free distribution covariance st

SUBMITTER: Wubetie HT 

PROVIDER: S-EPMC10365274 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature